• • The proposed filtration-based daily dustfall method achieved a spiked recovery of 101.1% ± 1.2% and parallelism y = 0.95x + 0.28, enabling reliable high-resolution (1-day) dustfall monitoring and component analysis, overcoming the limitations of conventional monthly total dustfall measurements.
• • Daily dustfall in autumn–winter ranged from 0.06 to 2.33 t·(km²·d)−1; days exceeding 0.7 t·(km²·d)−1 constituted only 4% of sampling days but contributed 25% of total dustfall, indicating a 'few high-value days dominate' pattern that is critical for prioritizing control actions.
• • Insoluble dustfall averaged 83% ± 12% of total dustfall, and the model y = 9.36ln(x) + 99.98 (x ≤ 1.00) allows rapid estimation of total dustfall from insoluble measurements, facilitating source apportionment and local fugitive dust assessment.
• • Daily dustfall correlated strongly with average wind speed, with an exponential model y = 0.06e0.61x; wind speeds ≥3 on the Beaufort scale significantly amplified dustfall, supporting the implementation of emergency measures (e.g., stopping earthwork, covering bare soil, increasing watering) during high-wind forecasts.
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